| Summary: | 碩士 === 國立交通大學 === 資訊管理研究所 === 93 === To fully realize the potential of Web services it is necessary to develop viable dynamic discovery and composition techniques. Matchmaking is considered as one of the crucial factors to ensure dynamic discovery and composition of Web services. Current matchmaking methods such as UDDI or LARKS are inadequate given their inability to abstract and classify Web services on the capability of services, software signatures, and so on. Current mechanisms have lost a hidden dimension for matchmaking. That is, the underlying data of Web services. Otherwise, UDDI doesn’t support the imprecise query. Therefore, our research proposes a novel framework which exploits fuzzy logic in order to abstract and classify the underlying data of Web services as fuzzy terms and rules. The aim is to allow vague terms in the search query and to provide more suited services to requesters.
|
|---|
